2024-01-26

Future directions

How to plan for futute landscapes

\(\begin{align*} \text{Maximize} & = \text{Biodiversity} + \text{Resilience} + \text{Human dimension}\end{align*}\)

  • Biodiversity
    • Community composition and rarity
    • Phylogenetic Diversity
    • Functional diversity*
  • Resilience
    • Contiguity (Area)
    • Stochastic components and Global Change Vulnerability
    • Network stability (Trophic and/or mutualistic)*
    • Ecosystem Functioning*
  • Human dimension
    • Food and resource security (Eg. Renewable energy, water)
    • Minimize conflict*

Biodiversity

Maximize biodiversity

\[\max_{\text{ConservationIndex}} \sum_{l, c}^{L,C} \text{LanduseDecision}_{l, c} \cdot \text{S}_{l, c} \cdot \text{PD}_{l, c}\cdot \text{Rar}_{l, c}\]

Resilience

Resilience

  • Resilience
    • Contiguity (Area)
    • Stochastic components and Global Change Vulnerability
    • Network stability (Trophic and/or mutualistic)*
    • Ecosystem Functioning*

\[\max_{\text{ObjectiveFunction}} \sum_{i, j} \text{DecisionVariable}_{l, i} \cdot \text{DecisionVariable}_{l, j} \cdot \text{Bonus}\]

Example Landuse (Global contribution)

\(\begin{align*} \text{Maximize} & = \text{Biodiversity} + \text{Resilience} \cdot \text{bonus}\end{align*}\)

  • Trade-off

Individual cell values (Local contribution)

\(\begin{align*} \text{Maximize} & = \text{Biodiversity}_c + \text{Resilience}_c\cdot \text{bonus}\end{align*}\)

Work in progress

  • Stochasticity and climate change vulnerability

Resilience in Networks

  • Measures of network stability
  • Trophic and mutualistic
  • With rewiring potential hypothesis
  • Potential colaboration (Eva and Alejo)

Network flow

  • Incorporating species dispersal (Species on the move)
  • Multiple scenarios
  • Example report

Geographic representation

Adding human dimension

\[\begin{align*} \text{Maximize} & = \text{Biodiversity} + \text{Resilience} + \text{Human dimension}\end{align*}\]

  • First iteration:
    • Economic yield and number of owners
  • Second iteration:
    • Characterization of actors, who is in the areas of interest (Farmers, Home owners, private companies, municipalities, Frederik)
    • What are their interests
  • Third iteration:
    • Interview them, what are their concerns (quantitative surveys, Q method, Maya, Pil, Sara)
    • add them to the optimization

External colaborations

External colaborations

  • Stochastic models in migration and optimization (Cristobal Quiñinao, Chile)
  • Trophic and Mutualistic networks (Isidora Ávila-Thieme, Chile, Erik Kusch, Norway)